What is it about?
This paper explains how artificial intelligence (AI) can cut waste and speed up 3D bioprinting. Instead of relying on slow trial-and-error experiments, AI can help design new bioinks, predict which recipes will print well, and automatically tune printer settings. We organise recent work into four roles for AI: 1. Discovering materials 2. Screening bioinks 3. Optimising printing processes 4. Intelligent printing systems
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Photo by melanfolia меланфолія on Unsplash
Why is it important?
Bioprinting is amazing, but can be wasteful, costly and hard to scale. This review is one of the first to directly link AI tools with clear sustainability goals in bioprinting, showing where AI can reduce waste, energy use and failed prints. By setting out a simple framework and concrete opportunities, it gives researchers and industry a practical roadmap for making bioprinting both high-performance and environmentally responsible.
Perspectives
Working in bioprinting and AI, I often see valuable data discarded and the same optimisation problems solved again and again. I myself is a victim of that. This paper reflects my view that sustainability metrics—waste, energy, reusability—should be treated as core design targets, not afterthoughts. AI will not replace experimental skill, but it can act as a powerful co-pilot, guiding us towards cleaner, faster and smarter bioprinting with fewer unnecessary experiments.
Dr Hongyi Chen
Read the Original
This page is a summary of: Artificial intelligence in advancing sustainability in bioprinting, International Journal of Bioprinting, July 2025, Inno Science Press,
DOI: 10.36922/ijb025170164.
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